Neural Networks

Given my last post was in November of 2013 (trust me, I’ve been busy), I figured I’d start out with a heady topic like “Neural

Networking” in an age where Deep Machine Learning and perhaps its lesser cousin, assisted Machine Learning (I’ll define in a bit), seem to be all the rage. However, before we begin, I want to make a few things clear:

I’m no expert in these fields.

I’m musing out loud here. You’re my audience and what you determine to be salient and what you deem junk is, well, your problem, not mine.

DML/AML, Neural Networking, and a whole host of other terms, acronyms, mindf**k level events, etc. are here. Deal with it.

So with such an illustrious preface, I suppose we should let the party begin.

One of the more recent advancements within computing has been the application of heuristics and neural networking. Heuristics is defined as being “…an educational method in which learning takes place through discoveries that result from investigations…“ While heuristics has historically been used in such products like anti-virus software, it provides an incredible wealth of capability and technology for the COSS solution. Similarly, neural networks provide capacitive understanding of processing layers and optimizations that learn patterns based on underlying statistical data. How do these two technologies apply to COSS?

For those of you who think you can stand listening to me prattle on for 36 or so minutes (completely unpolished, I might add), here’s an audio clip for you that I recorded this morning. You’ll see the content of this recording show up sometime soon as another article in the COSS (Cloud Optimized Storage Solution) article series. In this clip I talk about heuristics, neural networks, and then (attempt) to explain it by example. Rough, I know…